The AI arena is free today

Open Superagent

GPT-6.1 Terra vs SWE-2

GPT-6.1 Terra and SWE-2 are closely matched at 47.6 and 47.9 on the LLM Stats Score.

OpenAI · Cognition · Updated for 2026

Which is better?

GPT-6.1 Terra and SWE-2 are closely matched on the overall LLM Stats Score at 47.6 and 47.9.

In the 1 individual benchmarks reported for both models, GPT-6.1 Terra wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-6.1 Terra

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose SWE-2

  • you are already invested in the Cognition ecosystem

At a glance

The differences that matter most.

Core performance indexes
47.6
#37
47.9
#34
49.1
#18
45.5
#37
37.3
#30
38.7
#26
38.7
#11
35.6
#27
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$1.00 / M
— / M
Output price
$5.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6.1 Terra
SWE-2
33.3#5
26.2#38
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for GPT-6.1 Terra · 4 for SWE-2

1 shared

GPT-6.1 Terra outperforms in 1 benchmarks (Terminal-Bench 4.0), while SWE-2 is better at 0 benchmarks.

GPT-6.1 Terra significantly outperforms across most benchmarks.

Fri Nov 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6.1 Terra specifies input context (1,050,000 tokens). Only GPT-6.1 Terra specifies output context (128,000 tokens).

OpenAI
GPT-6.1 Terra
Input1,050,000 tokens
Output128,000 tokens
Cognition
SWE-2
Input- tokens
Output- tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6.1 Terra supports multimodal inputs, whereas SWE-2 does not.

GPT-6.1 Terra can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6.1 Terra

Text
Images
Audio
Video

SWE-2

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-6.1 Terra

Proprietary

Closed source

SWE-2

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-6.1 Terra was released on 2026-10-26, while SWE-2 was released on 2026-09-10.

GPT-6.1 Terra is 2 months newer than SWE-2.

GPT-6.1 Terra

Oct 26, 2026

1 weeks ago

1mo newer
SWE-2

Sep 10, 2026

1 months ago

Knowledge Cutoff

When training data ends

GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while SWE-2's cutoff date is not specified.

We can confirm GPT-6.1 Terra's training data extends to 2026-06-01, but cannot make a direct comparison without SWE-2's cutoff date.

GPT-6.1 Terra

Jun 2026

SWE-2

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Terra and SWE-2 side-by-side, then vote on the output you prefer.

GPT-6.1 Terra
✓ Preferred
SWE-2
Open in Playground

FAQ

Common questions about GPT-6.1 Terra vs SWE-2.

Which is better, GPT-6.1 Terra or SWE-2?

GPT-6.1 Terra and SWE-2 are closely matched on the LLM Stats Score at 47.6 and 47.9. GPT-6.1 Terra is made by OpenAI and SWE-2 is made by Cognition. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6.1 Terra compare to SWE-2 in benchmarks?

GPT-6.1 Terra scores HealthBench Consensus: 95.1%, HealthBench Professional: 62.7%, Agents' Last Exam: 60.0%, Terminal-Bench-Science 0.1: 58.3%, MentalHealthBench: 55.5%. SWE-2 scores Terminal-Bench 2.1: 92.8%, DeepSWE 1.1: 73.0%, FrontierCode 1.1: 50.0%, Terminal-Bench 4.0: 27.3%.

What are the context window sizes for GPT-6.1 Terra and SWE-2?

GPT-6.1 Terra supports 1.1M tokens and SWE-2 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-6.1 Terra and SWE-2?

Key differences include LLM Stats Score (47.6 vs 47.9), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6.1 Terra and SWE-2?

GPT-6.1 Terra is developed by OpenAI and SWE-2 is developed by Cognition.